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PhenStat: A Tool Kit for Standardized Analysis of High Throughput Phenotypic Data.
Kurbatova, Natalja; Mason, Jeremy C; Morgan, Hugh; Meehan, Terrence F; Karp, Natasha A.
Afiliação
  • Kurbatova N; The EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, United Kingdom.
  • Mason JC; The EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, United Kingdom.
  • Morgan H; Medical Research Council Harwell, Harwell, Oxfordshire, United Kingdom.
  • Meehan TF; The EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, United Kingdom.
  • Karp NA; Mouse Informatics Group, Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, United Kingdom.
PLoS One ; 10(7): e0131274, 2015.
Article em En | MEDLINE | ID: mdl-26147094
ABSTRACT
The lack of reproducibility with animal phenotyping experiments is a growing concern among the biomedical community. One contributing factor is the inadequate description of statistical analysis methods that prevents researchers from replicating results even when the original data are provided. Here we present PhenStat--a freely available R package that provides a variety of statistical methods for the identification of phenotypic associations. The methods have been developed for high throughput phenotyping pipelines implemented across various experimental designs with an emphasis on managing temporal variation. PhenStat is targeted to two user groups small-scale users who wish to interact and test data from large resources and large-scale users who require an automated statistical analysis pipeline. The software provides guidance to the user for selecting appropriate analysis methods based on the dataset and is designed to allow for additions and modifications as needed. The package was tested on mouse and rat data and is used by the International Mouse Phenotyping Consortium (IMPC). By providing raw data and the version of PhenStat used, resources like the IMPC give users the ability to replicate and explore results within their own computing environment.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fenótipo / Software / Reprodutibilidade dos Testes / Ensaios de Triagem em Larga Escala Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fenótipo / Software / Reprodutibilidade dos Testes / Ensaios de Triagem em Larga Escala Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Reino Unido